A Semantic Similarity Measure between Web Services Based on Google Distance

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

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SDMM Based Ranking Mechanism for Semantic Web Services Search

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.373-375.1853 ◽

2013 ◽

Vol 373-375 ◽

pp. 1853-1858

Author(s):

Zhi Hao Zeng ◽

Fu Lu Guo ◽

Qi Sun

Keyword(s):

Web Services ◽

Semantic Web ◽

Web Service ◽

Semantic Similarity ◽

Similarity Measure ◽

Three Dimensional ◽

Semantic Web Services ◽

Semantic Web Service ◽

Semantic Similarity Measure ◽

Ranking Mechanism

For search of semantic Web services, a semantic Web services matching results ranking mechanism based on SDMM (semantic distance metric model) is proposed. The calculation of semantic similarity measure can be realized by using this three-dimensional SDMM which is for presenting the semantic relationship of objects defined in ontology, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on SDMM significantly improves search accuracy of semantic Web service matchmaking, and enhance users experience of semantic Web services search. By a set of experiments, we demonstrate the benefits and effectiveness of our approach.

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A Similarity Measure Across Ontologies for Web Services Discovery

Information Retrieval and Management ◽

10.4018/978-1-5225-5191-1.ch047 ◽

2018 ◽

pp. 1097-1120

Author(s):

Aissa Fellah ◽

Mimoun Malki ◽

Atilla Elci

Keyword(s):

Web Services ◽

Semantic Web ◽

Semantic Similarity ◽

Similarity Measure ◽

Semantic Web Services ◽

Service Oriented Architectures ◽

Semantic Similarity Measure ◽

Generic Framework ◽

Service Oriented ◽

Novel Algorithm

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

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A Similarity Measure Across Ontologies for Web Services Discovery

Web Services ◽

10.4018/978-1-5225-7501-6.ch047 ◽

2019 ◽

pp. 859-881 ◽

Cited By ~ 2

Author(s):

Aissa Fellah ◽

Mimoun Malki ◽

Atilla Elci

Keyword(s):

Web Services ◽

Semantic Web ◽

Semantic Similarity ◽

Similarity Measure ◽

Semantic Web Services ◽

Service Oriented Architectures ◽

Semantic Similarity Measure ◽

Generic Framework ◽

Service Oriented ◽

Novel Algorithm

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

Download Full-text